GLOBAL 10-YEAR MEAN MONTHLY CLIMATOLOGY, 1901-1990 (NEW ET AL.)

• Main Authors: HULME, M., JONES, P.D., NEW, M.
• Format: Dataset
• Language: unknown
• Published: ORNL DAAC
• Subjects: AIR TEMPERATURE|ANALYSIS|COMPUTER MODEL; CLOUD AMOUNT/FREQUENCY|ANALYSIS|COMPUTER MODEL; FROST|ANALYSIS|COMPUTER MODEL; MAXIMUM/MINIMUM TEMPERATURE|ANALYSIS|COMPUTER MODEL; PRECIPITATION AMOUNT|ANALYSIS|COMPUTER MODEL; WATER VAPOR|ANALYSIS|COMPUTER MODEL; AIR TEMPERATURE; COMPUTER MODEL; ANALYSIS; GLOBAL; Antarc*; Antarctica
• Online Access: https://search.dataone.org/view/record556.xml

This is a data set of 10-year mean monthly surface climate data over global land areas, excluding Antarctica, for the period 1901-1990. The data set is gridded at 0.5 degree latitude/longitude resolution and includes seven variables: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapour pressure, cloud cover, and ground-frost frequency. In constructing the monthly grids the authors used an anomaly approach which attempts to maximize station data in space and time (New et al., 2000). In this technique, grids of monthly historic anomalies are derived relative to a standard normal period. Station measurement data for the years 1961-1990, extracted from the monthly data holdings of the Climatic Research Unit and the Global Historic Climatology Network (GHCN), served as the normal period (New et al., 1999). The anomaly grids were then combined with high-resolution mean monthly climatology to arrive at fields of estimated historical monthly surface climate. Data users are encouraged to see the companion file New et al.(2000) for a complete description of this technique and potential applications and limitations of the data set. For additional information, refer to the IPCC Data Distribution Centre.